Deploying applications to Kubernetes – the powerful and popular container-orchestration system – can be complex. Setting up a single application can involve creating multiple interdependent Kubernetes resources – such as pods, services, deployments, and replicasets – each requiring you to write a detailed YAML manifest file.
Helm is a package manager for Kubernetes that allows developers and operators to more easily package, configure, and deploy applications and services onto Kubernetes clusters.
Helm is now an official Kubernetes project and is part of the Cloud Native Computing Foundation, a non-profit that supports open source projects in and around the Kubernetes ecosystem.
In this article we will give an overview of Helm and the various abstractions it uses to simplify deploying applications to Kubernetes. If you are new to Kubernetes, it may be helpful to read An Introduction to Kubernetes first to familiarize yourself with the basics concepts.
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Most every programming language and operating system has its own package manager to help with the installation and maintenance of software. Helm provides the same basic feature set as many of the package managers you may already be familiar with, such as Debian’s
apt, or Python’s
Helm provides this functionality through the following components:
helm, which provides the user interface to all Helm functionality.
tiller, that runs on your Kubernetes cluster, listens for commands from
helm, and handles the configuration and deployment of software releases on the cluster.
We’ll investigate the charts format in more detail next.
Helm packages are called charts, and they consist of a few YAML configuration files and some templates that are rendered into Kubernetes manifest files. Here is the basic directory structure of a chart:
These directories and files have the following functions:
requirements.yaml to dynamically link dependencies.
values.yaml and the command line) and rendered into Kubernetes manifests. The templates use the Go programming language’s template format.
helm command can install a chart from a local directory, or from a
.tar.gz packaged version of this directory structure. These packaged charts can also be automatically downloaded and installed from chart repositories or repos.
We’ll look at chart repositories next.
A Helm chart repo is a simple HTTP site that serves an
index.yaml file and
.tar.gz packaged charts. The
helm command has subcommands available to help package charts and create the required
index.yaml file. These files can be served by any web server, object storage service, or a static site host such as GitHub Pages.
Helm comes preconfigured with a default chart repository, referred to as stable. This repo points to a Google Storage bucket at
https://kubernetes-charts.storage.googleapis.com. The source for the stable repo can be found in the helm/charts Git repository on GitHub.
Alternate repos can be added with the
helm repo add command. Some popular alternate repositories are:
Whether you’re installing a chart you’ve developed locally, or one from a repo, you’ll need to configure it for your particular setup. We’ll look into configs next.
A chart usually comes with default configuration values in its
values.yaml file. Some applications may be fully deployable with default values, but you’ll typically need to override some of the configuration to meet your needs.
The values that are exposed for configuration are determined by the author of the chart. Some are used to configure Kubernetes primitives, and some may be passed through to the underlying container to configure the application itself.
Here is a snippet of some example values:
These are options to configure a Kubernetes Service resource. You can use
helm inspect values chart-name to dump all of the available configuration values for a chart.
These values can be overridden by writing your own YAML file and using it when running
helm install, or by setting options individually on the command line with the
--set flag. You only need to specify those values that you want to change from the defaults.
A Helm chart deployed with a particular configuration is called a release. We will talk about releases next.
During the installation of a chart, Helm combines the chart’s templates with the configuration specified by the user and the defaults in
value.yaml. These are rendered into Kubernetes manifests that are then deployed via the Kubernetes API. This creates a release, a specific configuration and deployment of a particular chart.
This concept of releases is important, because you may want to deploy the same application more than once on a cluster. For instance, you may need multiple MySQL servers with different configurations.
You also will probably want to upgrade different instances of a chart individually. Perhaps one application is ready for an updated MySQL server but another is not. With Helm, you upgrade each release individually.
You might upgrade a release because its chart has been updated, or because you want to update the release’s configuration. Either way, each upgrade will create a new revision of a release, and Helm will allow you to easily roll back to previous revisions in case there’s an issue.
If you can’t find an existing chart for the software you are deploying, you may want to create your own. Helm can output the scaffold of a chart directory with
helm create chart-name. This will create a folder with the files and directories we discussed in the Charts section above.
From there, you’ll want to fill out your chart’s metadata in
Chart.yaml and put your Kubernetes manifest files into the
templates directory. You’ll then need to extract relevant configuration variables out of your manifests and into
values.yaml, then include them back into your manifest templates using the templating system.
helm command has many subcommands available to help you test, package, and serve your charts. For more information, please read the official Helm documentation on developing charts.
In this article we reviewed Helm, the package manager for Kubernetes. We overviewed the Helm architecture and the individual
tiller components, detailed the Helm charts format, and looked at chart repositories. We also looked into how to configure a Helm chart and how configurations and charts are combined and deployed as releases on Kubernetes clusters. Finally, we touched on the basics of creating a chart when a suitable chart isn’t already available.
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